David Chen
Impact in
- Aging top 1%
- Health Informatics top 2%
Papers in
-
- DNA Repair Mechanisms 15
- Biomedical Text Mining and Ontologies 6
- CRISPR and Genetic Engineering 6
-
- Semantic Web and Ontologies 7
- Co-authors
- William B. Dolan (1 shared paper)John M. Sedivy (1 shared paper)Utz Herbig (1 shared paper)Benjamin P.C. Chen (1 shared paper)Gloria C. Li (3 shared papers)Akihiro Kurimasa (3 shared papers)Y. P. Chang (1 shared paper)Sara Sarid (3 shared papers)
- Journals
- Archives of Physical Medicine and Rehabilitation (4 papers)Journal of Clinical Oncology (4 papers)Magnetic Resonance in Medicine (4 papers)Journal of Cardiovascular Magnetic Resonance (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
David Chen
159 papers receiving 6.6k citations
David Chen's Hit Papers
Peers
Comparison fields: 5 of 184
- Aging 234
- Health Informatics 84
- Physiology 1.2k
- Molecular Biology 3.2k
- Cancer Research 554
Countries citing papers authored by David Chen
This map shows the geographic impact of David Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chen more than expected).
Fields of papers citing papers by David Chen
This network shows the impact of papers produced by David Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Chen. The network helps show where David Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside David Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Telomere Shortening Triggers Senescence of Human Cells through a Pathway Involving ATM, p53, and p21CIP1, but Not p16INK4a Hit paper breakdown → | 2004 | 1054 |
| 2 | Collecting Highly Parallel Data for Paraphrase Evaluation Hit paper breakdown → | 2011 | 519 |
| 3 | 1999 | 343 | |
| 4 | 1996 | 194 | |
| 5 | 2012 | 192 | |
| 6 | 2001 | 190 | |
| 7 | 1973 | 175 | |
| 8 | 2019 | 170 | |
| 9 | 2010 | 165 | |
| 10 | 2001 | 152 | |
| 11 | 2016 | 140 | |
| 12 | 2004 | 131 | |
| 13 | 2006 | 126 | |
| 14 | 2020 | 123 | |
| 15 | 2004 | 122 | |
| 16 | 2014 | 113 | |
| 17 | 2013 | 105 | |
| 18 | 2008 | 103 | |
| 19 | 2014 | 99 | |
| 20 | 2011 | 96 |
About David Chen
David Chen is a scholar working on Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 170 papers that have together received 6.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), Cardiac Imaging and Diagnostics (7 papers), Semantic Web and Ontologies (7 papers), Biomedical Text Mining and Ontologies (6 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related Molecular Pathways (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Spinal Cord Injury Research (5 papers). The work is most often cited by research in Aging (234 citations), Health Informatics (84 citations), Physiology (1.2k citations), Molecular Biology (3.2k citations) and Cancer Research (554 citations). David Chen has collaborated with scholars based in United States, Canada and France. Frequent co-authors include William B. Dolan, John M. Sedivy, Utz Herbig, Benjamin P.C. Chen, Gloria C. Li, Akihiro Kurimasa, Y. P. Chang, Sara Sarid, Steven M. Yannone and Julianne Meyne. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Journal of Clinical Oncology, Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.